Explore how categorical and numerical data differ, with nominal vs ordinal and discrete vs continuous subtypes, and learn to visualize each data type effectively.

Explore how Tableau uses dimensions and measures to shape aggregation and granularity, visualize profits by category and subcategory with bar and line plots, and analyze profits over order dates.

Access the completed Tableau projects via the public account link and resources folder, then apply granularity and aggregations while preparing to explore preattentive visual properties in Tableau plots.

Explore preattentive processing and how length, color, shape, position, and size quickly capture attention to improve data visualization and communicate insights effectively.

Explore preattentive visual properties of length and position to reveal sales extremes and rank categories with quick comparisons in bar graphs, using Tableau.

Learn how length in bar charts shows profits by category and subcategory in Tableau, build a category hierarchy, and use reference lines to highlight technology as most profitable.

Create and customize a subcategory parameter, connect it to a calculated field, and dynamically highlight selected subcategories to enhance interactive visuals in Tableau.

Analyze monthly profits across categories using Tableau time-based line charts and a drilled-down date hierarchy across three plots to reveal trends.

Learn to add a date range filter on order dates, view data by month or week, and trim data from January 2012 to December 2014.

Explore how shape acts as a preattentive property to quickly distinguish categories in Tableau scatterplots, and learn to use custom shapes for engaging, data-driven storytelling.

Analyze how discount levels affect profitability using scatter plots in Tableau, moving from aggregated sums to average discounts, and increasing detail by subcategory to reveal category-specific trends.

Size acts as a pre-attentive visual property that helps compare magnitude quickly and adds a dimension to data visualizations, using dot plots to show GDP and population differences.

Explore how Tableau uses sets and groups to segment data, with dynamic computed sets driven by parameters, and compare top-n visuals and filters across worksheets.

Learn to visualize how shipping costs affect profits by comparing ship modes—first class, same day, second class, and standard—using point size to reflect monthly profits and filters by year.

Explore trend lines in Tableau to highlight data trends with various trendline models, including the linear model, and customize with per-category lines, confidence intervals, and selective X and Y points.

Master heat plots in Tableau to visualize density and hotspots, using color intensity to reveal customer behavior and sales trends across time.

Explore why mapping adds context to data by visualizing latitude and longitude on maps. Discover how Tableau uses internal geocoding and supports custom spatial files to create insightful maps.

Learn to map US zip codes in Tableau by assigning geographic roles to latitude and longitude, creating symbol maps, and adjusting level of detail for accurate geocoded visuals.

Explore Tableau mapping by plotting US populations using geographic roles, field maps, and color by population, while adjusting map layers and settings to reveal eastern versus western population patterns.

Explore sequential, divergent, and categorical color sequences in Tableau, used to convey magnitude over a range, compare extremes with a neutral value, and group items by category.

Learn to visualize Canada's greenhouse gas emissions with a sequential color map in Tableau, using open data, csv prep, a postal code three field, and year animation.

Explore set actions in Tableau to dynamically adjust color palette by selecting regions, isolating postal code segments, and highlighting emissions for clearer visualization.

Master visual analytics in Tableau by using sets to highlight the top 20 CO2 emitting postal codes, color blue and orange, and top N parameter for Alberta emissions.

Explore spatial files that store geographic data like latitude and longitude in formats such as GeoJSON, KML, and Shapefiles, and how Tableau interprets them as point, line, or polygon data.

Learn to connect to a shapefile spatial file in Tableau, visualize London borough geometries, and join a CO2 emissions dataset by GS codes for geographic analysis.

Pivot the London borough CO2 data from a crosstab to a year-based column format, then visualize per-capita emissions across years with color and animation to reveal trends.

Explore heat maps in Tableau by converting density marks to visualize dense patterns in 48,000 Airbnb listings in New York City, using color intensity and price weighting to identify hotspots.

Learn how to use level of detail expressions in Tableau to compare the total Spanish-speaking households in each county subdivision to statewide totals, and visualize linguistic regions.

Learn to build a dual axis map in Tableau using lod expressions and calculated fields to compare county subdivisions against state average of Spanish speaking households, using sets and color.

Learn to build origin-destination maps by unioning routes data, applying inner joins with airport coordinates via a join calculation that maps source and destination IDs to lat/long.

Learn to draw origin destination paths in Tableau by pairing origin and destination rows with a path ID, then visualize lines, adjust opacity and colors, and map layers for routes.

Discover color vision deficiency, its eight forms, and how to design accessible Tableau visualizations using the built-in color vision deficiency friendly palette.

Explore basic aggregations in Tableau and master row level versus view level expressions to determine which subcategories and categories are profitable using cost, sales, and profits.

Explore computing performance as goals per game using aggregated fields, then rank teams with a discrete table calculation, and manage context with year filters for top 20 teams.

Customize a visually appealing lollipop chart using dual axes, circle markers, and soccer ball shapes to compare team performances, with a dynamic top N filter and a diverging color scheme.

Explore Tableau's level of detail expressions including include, exclude, and fixed to perform calculations at granularity beyond the viz and analyze metrics like average customer sales across categories.

Demonstrates using fixed lod to compute grand total profits ignoring viz granularity, then builds percent of total for subcategories with lod expressions and an attribute function.

Explore fixed level-of-detail expressions in Tableau and how they yield aggregated, replicated, or disjoint results, independent of the view’s detail and the include keyword's role in granularity.

Learn how to use include and fixed level of detail expressions in tableau to compute granular profits and re-aggregate them at the view level.

Explore fixed, include, and exclude level of detail expressions to compute year-aware category and subcategory sales, and derive yearly percent of total by excluding subcategory from the view.

Create a dynamic Tableau comparison chart of average neighborhood rental prices and their differences from a selected neighborhood using LOD expressions, calculated fields, and parameters.

Explore extra practice with Tableau level of detail to build a comparative analysis of subcategory sales in the Global Superstore dataset, using parameters, calculated fields, and exclude to show differences.

Explore host and customer acquisition dynamics with Tableau, building histograms and line charts using level of detail expressions, running totals, and count distinct to show yearly growth.

Learn to use include, exclude, and fixed level of detail expressions to compute max price per host and re-aggregate by neighborhood, then compare with totals and visualize percent of listings.

In Tableau, build a histogram to segment customers by monthly purchase frequency, using count distinct, earliest and latest purchases, and duration calculations. Convert to yearly frequency and round for readability.

Build a waterfall chart with Gantt marks and running totals to rank World Cup winners, then compare teams via dot plots, bars, and treemaps using table calculations.

Explore dashboards as themed collections of worksheets, links, and images that visualize data side by side, emphasizing visual appeal, minimalism, and quick insights.

Navigate a Tableau dashboard built on the Global Superstore dataset to explore profit by category and subcategory with filters, thresholds, and interactive charts.

Adopt a colorblind friendly palette by using orange and blue for clear contrasts in dashboards and time series, ensuring accessibility for all audience members.

Familiarize yourself with the second dashboard by building new worksheets and assembling them into a six-worksheet dashboard that uses the global superstore data and a date timeline for interactive insights.

Learn to build a line chart timeline in Tableau by plotting daily sales sums from 2011–2014, using continuous dates for daily granularity, and filtering to the last quarter of 2014.

Create and use dynamic sets and set actions in Tableau, including a selected dates set, to reflect user selections on the order date field and distinguish sets from groups.

Explore fixed sets in Tableau by selecting marks in the view to isolate dates or categories, based on multiple dimensions, which differ from dynamic sets by not changing with data.

Finalize worksheet 2 by creating a calculated field that returns the most recent date from the selected data point set using max, then drag it to the text mark.

Explore creating calculated fields for prior day sales and year-to-date sales in Tableau, using disaggregated and view-level expressions to power interactive dashboards.

Learn to apply dashboard formatting in Tableau by setting gray backgrounds, white lines, and centered white text, while using square marks and consistent font sizes across worksheets.

Learn to build a Tableau story from existing worksheets, using the Airbnb NYC data to order story points, show heatmaps, compare areas and prices, and track host growth.

Explore a year-over-year sales dashboard with two worksheets showing current year versus prior year for top regions, with green current-year bars, gray prior-year bands, and a monthly breakdown.

Create a Tableau dashboard showing cumulative sales by region, comparing current year and prior year using a year parameter, date part function, and a top N regions filter.

Create a prior year sales calculated field and compare it with current year sales by region using a dual axis chart with current year bars and prior year gantt marks.

visualize sales over time by month, comparing current year to prior year with a synchronized dual axis chart; filter to top regions and tidy the dashboard with month abbreviations.

Build a jitter plot in a Tableau dashboard to compare FIFA 18 player ratings by nationality across positions, using a modified dataset, a jitter field, and color and size encoding.

We build a jitter plot in Tableau using the FIFA 18 ratings dataset, pivot positions, and a manual table calculation to separate overlapping points by nationality.

Enhance a Tableau dashboard by using a background soccer pitch image and plotting x y coordinates of positions to visualize the 4312 formation.

Generate and plot the 433 formation's x and y coordinates on a background image, then use disaggregate, filters, and custom shapes to create an interactive Tableau visualization.

Create a fixed LOD expression to determine the top player by position within each nationality via a country parameter, then build wage visualizations with bar and lollipop charts.

Apply final touches to two Tableau worksheets, including color schemes, hidden headers, axis tweaks, and border formatting; use context filters and top-five wages to build a polished dashboard.

Learn to enhance dashboards with highlight actions in Tableau, create custom data source relationships, and synchronize fields across sources for accurate, interactive tooltips and marks.

Congratulations on completing the Tableau bootcamp; showcase your data visualization skills by sharing projects on Tableau Public and your certificate on professional networks.

Apply Mapbox styles in Tableau by creating an account, importing the integration URL from Mapbox Studio, and visualizing airports and countries with monochrome and dark map styles.